At a Glance
- Tasks: Transform data into strategic insights and drive decision-making in finance.
- Company: Globally recognised investment firm with a focus on innovation.
- Benefits: Competitive salary, career development, and a collaborative work environment.
- Other info: Dynamic role with opportunities for growth in a non-hierarchical team.
- Why this job: Shape the future of data analytics and make a real impact.
- Qualifications: 5+ years in analytics, expert in Databricks, Python, SQL, and project management.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Senior Data Analyst - Data Intelligence & Analytics Finance
Transform data into strategic advantage at one of the world's leading Investment firms
Are you ready to shape the future of data analytics? Join a globally recognised investment firm, managing billions in capital commitments and pioneering innovative liquidity solutions.
The Opportunity
Step into a dynamic role within the Data Intelligence & Analytics team, where you'll be instrumental in delivering an extensive transformation programme. Working alongside our Finance, Front Office and IT teams, you'll leverage cutting-edge technology to optimize operations and drive strategic decision-making across our multi-billion-dollar funds.
What makes this role exceptional:
- Collaborative, entrepreneurial environment with a proven track record of career development
- Significant impact on business strategy through data-driven insights
- Part of a strong, mutually supportive team in a non-hierarchical structure
Key Responsibilities
Solution Design & Project Management
- Lead as a Databricks technical expert, driving process improvement and automation
- Partner with business domain expert to understand their data requirements and design fit-for-purpose data products to solve complex challenges
- Design scalable data solutions supporting ambitious growth plans
Data Intelligence & Visualisation
- Create compelling visualisations and interactive dashboards using QlikSense
- Drive data literacy initiatives across the organization
- Present insights that inform senior-level decision making
Technology Innovation
- Assess and integrate market-leading technologies
- Ensure optimal system compatibility and strategic technology adoption
- Build comprehensive understanding of emerging tools and platforms
What You'll Bring
Essential Experience:
- University degree (2:1 minimum) in analytical field
- 5+ years in analytics/intelligence function
- Expert-level: Databricks, Python, SQL, Excel, JavaScript
- Advanced Excel skills including macro development
- Experience with Qlik or similar BI platforms
- Proven track record in cross-team project management
- Passion for technology and automation
Highly Valued:
- Investment Management exposure
- Senior stakeholder management experience
- AI technologies experience
- Power BI knowledge
- Outsource provider management
Ready to Make Your Mark?
This is more than a role - it's your opportunity to shape the future of data analytics. You'll work with cutting-edge technology, drive meaningful change, and develop expertise in one of finance's most dynamic sectors.
Perfect for: Analytics professionals seeking to make a strategic impact in a fast-paced, collaborative environment where innovation thrives and careers flourish.
Senior Data Analyst Finance in City of London employer: Mccabe & Barton
Join a globally recognised investment firm that not only values your expertise but also fosters a collaborative and entrepreneurial work culture. With a strong commitment to employee growth, you will have access to significant career development opportunities while making a tangible impact on business strategy through data-driven insights. Located in a dynamic financial hub, this role offers the chance to work with cutting-edge technology and be part of a supportive team that champions innovation and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst Finance in City of London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Mccabe & Barton!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Analyst Finance at Mccabe & Barton.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Mccabe & Barton.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst Finance at Mccabe & Barton, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Analyst Finance in City of London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Mccabe & Barton, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Mccabe & Barton. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Mccabe & Barton
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Mccabe & Barton!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
